Description: The editors provide highlights of the articles included in the August 2015 issue of Risk Management.

Description: Presented at October 1985 Annual Meeting. Discusses risk measurement and quantification, cash-flow-based surplus, factors that affect benchmark surplus, how multiple risks can be combined for benchmark surplus, benchmark surplus and the valuation actuary, and uses of benchmark surplus formulas.

Description: This article provides an overview of the evolution and rationale for Own Risk Solvency Assessment (ORSA), as well as practical implications for insurers as they begin to design an ORSA process.

Description: The National Association of Insurance Commissioners (NAIC) is moving forward to implement a new regulatory requirement that requires U.S. insurers to perform an Own Risk and Solvency Assessment (ORSA). Before developing a response to the ORSA requirement, insurers will want to understand its genesis and the underlying rationale for it, as well as its implications. This essay provides an overview of the evolution and rationale for ORSA, as well as practical implications for insurers as they begin to design an ORSA process. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: In this article the author discusses creating a common language for ORSA, capital and stress.

Description: The authors introduce an alternative to Tail Contribution Analysis TCA for analyzing business segments and strategies called Economic Profit Analysis EPA. They discuss EPA’s key feature, “volatility replication,” an intuitively appealing process of building investor expectations and capital market information into the risk-and-return measurements used to evaluate strategic decisions. Finally, they illustrate the benefit of using EPA in overcoming the problems of TCA and thereby providing concise reliable information for business decision making.

Description: This paper demonstrates the use of Quantile Regression in the development and understanding of conditional value at risk (VaR) models for enterprise risk management.

Description: This paper develops a conceptually rigorous formulation of the cost of capital method for estimating margins for mortality, lapse, expense and other forms of underwriting risk.